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rishabhjain16/whisper_large_v2_to_myst_pf_ot100

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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openai/whisper-large-v2

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2637
  • —Wer: 10.1437

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • —learning_rate: 1e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —training_steps: 4000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.26120.125000.268712.4717
0.50720.2510000.260612.2762
0.10231.0515000.243610.0626
0.13791.1820000.244711.1944
0.12371.325000.241211.0989
0.06842.1130000.271510.2703
0.09252.2335000.255310.2648
0.14843.0340000.263710.1437

Framework versions

  • —Transformers 4.29.0
  • —Pytorch 1.14.0a0+44dac51
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3